Creating a reference to a complex emergency situation using time series methods: war in Guinea-Bissau 1998-1999

Impacts of complex emergencies or relief interventions have often been evaluated by absolute mortality compared to international standardized mortality rates. A better evaluation would be to compare with local baseline mortality of the affected populations. A projection of population-based survival data into time of emergency or intervention based on information from before the emergency may create a local baseline reference. We find a log-transformed Gaussian time series model where standard errors of the estimated rates are included in the variance to have the best forecasting capacity. However, if time-at-risk during the forecasted period is known then forecasting might be done using a Poisson time series model with overdispersion. Whatever, the standard error of the estimated rates must be included in the variance of the model either in an additive form in a Gaussian model or in a multiplicative form by overdispersion in a Poisson model. Data on which the forecasting is based must be modelled carefully concerning not only calendar-time trends but also periods with excessive frequency of events (epidemics) and seasonal variations to eliminate residual autocorrelation and to make a proper reference for comparison, reflecting changes over time during the emergency. Hence, when modelled properly it is possible to predict a reference to an emergency-affected population based on local conditions. We predicted childhood mortality during the war in Guinea-Bissau 1998-1999. We found an increased mortality in the first half-year of the war and a mortality corresponding to the expected one in the last half-year of the war.     

Uncertain Numbers and Uncertainty in the Selection of Input Distributions—Consequences for a Probabilistic Risk Assessment of Contaminated Land

Risks from exposure to contaminated land are often assessed with the aid of mathematical models. The current probabilistic approach is a considerable improvement on previous deterministic risk assessment practices, in that it attempts to characterize uncertainty and variability. However, some inputs continue to be assigned as precise numbers, while others are characterized as precise probability distributions. Such precision is hard to justify, and we show in this article how rounding errors and distribution assumptions can affect an exposure assessment. The outcome of traditional deterministic point estimates and Monte Carlo simulations were compared to probability bounds analyses. Assigning all scalars as imprecise numbers (intervals prescribed by significant digits) added uncertainty to the deterministic point estimate of about one order of magnitude. Similarly, representing probability distributions as probability boxes added several orders of magnitude to the uncertainty of the probabilistic estimate. This indicates that the size of the uncertainty in such assessments is actually much greater than currently reported. The article suggests that full disclosure of the uncertainty may facilitate decision making in opening up a negotiation window. In the risk analysis process, it is also an ethical obligation to clarify the boundary between the scientific and social domains.     

Making Sense of After‐School Care Dilemmas in Mothers' Stories of After‐School Care in Finland and Sweden

The study focuses on dilemmas in storied experiences of everyday after‐school care arrangements among Swedish and Finnish mothers. Finland and Sweden, which share a history of strong labour market attachment among women, arrange institutional after‐school care in similar ways. The data consist of interviews with three Swedish and six Finnish mothers. A positioning analysis of four stories shows how decisions related to children's after‐school hours were allocated among different actors. Two reoccurring dilemmas, Competent‐dependent child stories and Unburdened‐deficient mother stories, emerged from the data analysis as related to prevailing moral discourses on childhood and motherhood.     

Micro‐Level Determinants of Remittances from Recent Migrants to Canada

Despite considerable interest in remittances to developing countries, the limited availability of large sample data has constrained aspects of our understanding of remitter behaviour. This paper utilizes data from Statistics Canada’s Longitudinal Survey of Immigrants to Canada (LSIC) to investigate how the demographic characteristics of recent immigrants influence their remittance levels shortly after their arrival in Canada. We identify several hypotheses and use a Tobit model to estimate the impact of individual characteristics on remittance choices. As expected, remittances rise with incomes, age and falls with the size of the migrating family, housing costs and education. We also estimate how remittances are affected by other characteristics, such as gender, marital status, religion, region of origin, region of settlement and attitudes towards home and host communities.     

Education,cognitive ability,and cause-specific mortality: A structural approach

Education is negatively associated with most major causes of death. Prior work ignores the premise that cause-specific hazards are interdependent and that both education and mortality depend on cognitive ability. We analyse Swedish men aged 18–63, focusing on months lost due to specific causes—which solves the interdependence problem—and use a structural model that accounts for confounding due to cognitive ability. In a standard Cox model controlling for Intelligence Quotient, improving education is associated with large decreases in mortality for major causes of death. In the structural model, improving education is associated with a small decrease in months lost for most causes and education levels. Among the least educated, however, improving education strongly reduces the months lost, mainly those lost from external causes, such as accidents and suicide. Results suggest that conventional analysis of education and mortality may be biased, even if accounting for observed cognition.     

Elements of Capacity in Youth Development Nonprofits: An Exploratory Study of Urban Sport for Development and Peace Organizations

Organizational capacity is often discussed among nonprofit practitioners and scholars. Yet, empirical research employing a multidimensional capacity framework remains scarce in the nonprofit literature (Andersson et al. in VOLUNTAS Int J Volunt Nonprofit Organ 27(6):2860–2888, 2016). Using a qualitative research approach, we explored capacity in a specific segment of youth development nonprofits—sport for development and peace (SDP). We were guided by three research questions: (1) what are critical capacity elements of SDP nonprofits? (2) how do these capacity elements influence the ability of SDP nonprofits to achieve their desired goals and objectives? and (3) what are the capacity needs of SDP nonprofits in the USA? Findings from in-depth interviews with leaders of 29 organizations contribute to the development of theory on nonprofit capacity by providing a more nuanced understanding of capacity strengths and challenges related to broader nonprofit goal achievement. For example, paid staff, revenue generation, and internal infrastructure emerged as critically more important for capacity in this context. Practical and theoretical implications are further discussed.     

A Study of a Network Meeting: Exploring the Interplay between Inner and Outer Dialogues in Significant and Meaningful Moments

The present study is part of a series of qualitative studies focusing on dialogic practice in southern Norway. In this article, we present a qualitative study of a network meeting focusing on the interplay between the participants' inner and outer dialogues. The network meeting is between an adolescent boy, his mother and two network therapists, the same adolescent case discussed previously in this journal by Bøe et al. ( 2013 ). The aim of this study is to explore how the interplay between inner and outer dialogues contributes to significant and meaningful moments for the interlocutors. A multiperspective methodology is used that combines video recordings of a network meeting and participant interviews with text analysis. Our research found the interplay has an important role in understanding the emergence of significant and meaningful moments in therapy. A one‐sided focus on participants' utterances or inner dialogues was insufficient to explain their significance and meaning to the interlocutors. A dialogical approach provides a theoretical frame and concepts that are useful in investigations of therapeutic conversations.     

Regression Analysis of Restricted Mean Survival Time Based on Pseudo-Observations

Regression models for survival data are often specified from the hazard function while classical regression analysis of quantitative outcomes focuses on the mean value (possibly after suitable transformations). Methods for regression analysis of mean survival time and the related quantity, the restricted mean survival time, are reviewed and compared to a method based on pseudo-observations. Both Monte Carlo simulations and two real data sets are studied. It is concluded that while existing methods may be superior for analysis of the mean, pseudo-observations seem well suited when the restricted mean is studied.     

Business Travel from the Traveller’s Perspective: Stress,Stimulation and Normalization

For growing numbers of businesspeople, managers and public officials, work involves travel. This study investigates what business travel means to travellers. What are their experiences of travel and what are the consequences of travel for their professional and personal lives? Qualitative interviews with frequent business travellers and corporate travel managers show that travel may be both stressful and stimulating. It may be associated with physical and psychological strain, increased workloads and difficulties in balancing work and private life, but also with enriching experiences, social and professional status and a cosmopolitan identity. It may also promote travellers’ professional careers. However, in some respects, an ongoing normalization of travel seems to have moderating effects on both stress and stimulation among travellers. This normalization occurs on three different levels: the societal, organizational and individual.